Michael C. Shebanow
Michael C. Shebanow publishes mostly in Computer Networks and Communications, Hardware and Architecture and Information Systems, on topics such as Parallel Computing and Optimization Techniques, Distributed and Parallel Computing Systems and Advanced Data Storage Technologies.
- World rank
- #1,452,140 of 7,710,434 ranked researchers
- Rank in United States
- #456,858 of 1,627,098
- Works
- 29
- Citations
- 1k
- Citations per work
- 35.7
What does Michael C. Shebanow research?
Michael C. Shebanow's work is mostly in Computer Science (78%), Engineering (10%).
Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.
The fields and subfields, with their numbers
- Physical Sciences2587.7%
- Computer Science2377.6%
- Engineering310.1%
- Everything else412.3%
- 1Computer Networks and Communications44% of their works
- 2Hardware and Architecture24% of their works
- 3Information Systems10% of their works
- 4Electrical and Electronic Engineering6% of their works
- 5Industrial and Manufacturing Engineering2% of their works
- 6Mechanics of Materials1% of their works
Research topics
- Parallel Computing and Optimization Techniques
- Distributed and Parallel Computing Systems
- Advanced Data Storage Technologies
- Cloud Computing and Resource Management
- Interconnection Networks and Systems
- Distributed systems and fault tolerance
- Advanced Memory and Neural Computing
- Scheduling and Optimization Algorithms
Which keywords describe Michael C. Shebanow's research?
The keywords of their largest research topics: High-Performance Computing, Parallel Computing, Distributed Systems, Resource Management, GPU Computing, Performance Optimization, Grid Computing and Task Scheduling.
- Scheduling
- Memristor
- Consistency
- Interconnection Networks
- Big Data
- Network Coding
- Task Scheduling
- Performance Optimization
- Resource Management
- Parallel Computing
- High-Performance Computing
- Distributed Systems
- GPU Computing
- Grid Computing
- Distributed Storage
- Fault Tolerance
- Cloud Computing
- Networks on Chip
- Manufacturing
- Neuromorphic Computing
- Transactional Memory
Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.
All 21 words, with their numbers
- High-Performance Computing322 topics
- Parallel Computing312 topics
- Distributed Systems223 topics
- Resource Management202 topics
- GPU Computing181 topic
- Performance Optimization181 topic
- Grid Computing141 topic
- Task Scheduling141 topic
- Distributed Storage131 topic
- Network Coding131 topic
- Fault Tolerance72 topics
- Big Data61 topic
- Cloud Computing61 topic
- Interconnection Networks51 topic
- Networks on Chip51 topic
- Consistency21 topic
- Manufacturing21 topic
- Memristor21 topic
- Neuromorphic Computing21 topic
- Scheduling21 topic
- Transactional Memory21 topic
Where does Michael C. Shebanow work?
Michael C. Shebanow's main affiliation in the publication record is University of California, Berkeley, United States.
How many publications and citations does Michael C. Shebanow have?
OpenAlex counts 29 works and 1,035 citations for Michael C. Shebanow, an h-index of 10, ranking #1,452,140 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.
Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.
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